Data Scientist - Bengaluru, Karnataka, India - Gray Matter

Gray Matter
Gray Matter
Verified Company
Bengaluru, Karnataka, India

1 day ago

Deepika Kaur

Posted by:

Deepika Kaur

beBee Recuiter


Description

Experience: 5+ years


Role:
Permanent


Location:
Bangalore, INDIA


Key Responsibilities:


  • Model Development: Design and implement ML models to tackle complex business challenges.
  • Data Preprocessing: Clean, preprocess, and analyze large datasets for meaningful insights and model features.
  • Model Training: Train and finetune ML models using various techniques including deep learning and ensemble methods.
  • Evaluation and Optimization: Assess model performance, optimize for accuracy, efficiency, and scalability.
  • Deployment: Deploy ML models in production, monitor performance for reliability.
  • Collaboration: Work with data scientists, engineers, and stakeholders to integrate ML solutions.
  • Research: Stay updated on ML/AI advancements, contribute to internal knowledge.
  • Documentation: Maintain comprehensive documentation for all ML models and processes.

Must Have:


  • Education: Bachelor's, Master's, or Ph.
D. in Computer Science, Machine Learning, Data Science, or a related field.

  • Professional Experience: Fullstack Data Scientist with a track record in ML model development and deployment in production. Experienced in architecting solutions with CI/CD processes.
  • Proficiency: Proficiency in programming languages, Python is a must know. Proficient in Azure Databricks.
  • Data Science Skills: Experience in data preprocessing, feature engineering, model building and model evaluation.
  • Cloud and Containerization: Knowledge of cloud platforms and familiarity with containerization technologies, such as Docker.
  • Software Development Practices: Familiarity with software development practices, version control, and agile methodologies.
  • Distributed Computing: Familiarity with distributed inmemory computing technologies.

Good to Have:


  • Experience with Big Data and analytics using technologies like Hadoop, Spark, etc.
  • Proficient in Spark, familiar with deep learning frameworks like TensorFlow, PyTorch, etc
  • Additional experience or knowledge in AI/ML technologies beyond the mentioned frameworks.
  • Enhanced expertise in SQL.

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